Pandas Profiling Report

Dataset statistics

Number of variables	21
Number of observations	12997
Missing cells	4609
Missing cells (%)	1.7%
Duplicate rows	1126
Duplicate rows (%)	8.7%
Total size in memory	2.1 MiB
Average record size in memory	168.0 B

Variable types

Categorical	8
Numeric	11
Boolean	2

Alerts

Dataset has 1126 (8.7%) duplicate rows	Duplicates
`0` has a high cardinality: 3193 distinct values	High cardinality
`3` is highly overall correlated with `11` and 1 other fields	High correlation
`4` is highly overall correlated with `15` and 1 other fields	High correlation
`6` is highly overall correlated with `9` and 1 other fields	High correlation
`9` is highly overall correlated with `6` and 1 other fields	High correlation
`10` is highly overall correlated with `6` and 1 other fields	High correlation
`11` is highly overall correlated with `3` and 1 other fields	High correlation
`12` is highly overall correlated with `11` and 3 other fields	High correlation
`15` is highly overall correlated with `4` and 2 other fields	High correlation
`16` is highly overall correlated with `4` and 2 other fields	High correlation
`20` is highly overall correlated with `3`	High correlation
`18` is highly overall correlated with `12`	High correlation
`7` has 300 (2.3%) missing values	Missing
`15` has 304 (2.3%) missing values	Missing
`16` has 382 (2.9%) missing values	Missing
`17` has 3198 (24.6%) missing values	Missing
`0` is uniformly distributed	Uniform
`2` has 8640 (66.5%) zeros	Zeros
`4` has 383 (2.9%) zeros	Zeros
`9` has 295 (2.3%) zeros	Zeros
`15` has 1123 (8.6%) zeros	Zeros
`16` has 857 (6.6%) zeros	Zeros

Reproduction

Analysis started	2023-05-10 07:01:44.264953
Analysis finished	2023-05-10 07:02:24.455377
Duration	40.19 seconds
Software version	ydata-profiling v0.0.dev0
Download configuration	config.json

0
Categorical

HIGH CARDINALITY UNIFORM

Distinct	3193
Distinct (%)	24.6%
Missing	0
Missing (%)	0.0%
Memory size	101.7 KiB

2011-01-24	8
2011-09-16	8
2010-01-25	7
2010-02-20	7
2012-07-19	7
Other values (3188)	12960

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	129970
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2009-03-08
2nd row	2014-11-12
3rd row	2008-08-08
4th row	2015-10-12
5th row	2013-10-27

Common Values

Value	Count	Frequency (%)
2011-01-24	8	0.1%
2011-09-16	8	0.1%
2010-01-25	7	0.1%
2010-02-20	7	0.1%
2012-07-19	7	0.1%
2016-10-05	7	0.1%
2010-03-29	7	0.1%
2012-05-17	7	0.1%
2016-09-03	7	0.1%
2017-01-22	7	0.1%
Other values (3183)	12925	99.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2011-01-24	8	0.1%
2011-09-16	8	0.1%
2010-03-19	7	0.1%
2017-06-07	7	0.1%
2016-11-15	7	0.1%
2013-05-16	7	0.1%
2013-09-30	7	0.1%
2012-08-02	7	0.1%
2009-08-24	7	0.1%
2011-11-08	7	0.1%
Other values (3183)	12925	99.4%

Most occurring characters

Value	Count	Frequency (%)
0	32966	25.4%
-	25994	20.0%
1	23286	17.9%
2	21786	16.8%
3	4412	3.4%
9	4004	3.1%
6	3810	2.9%
4	3692	2.8%
5	3609	2.8%
8	3216	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	103976	80.0%
Dash Punctuation	25994	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	32966	31.7%
1	23286	22.4%
2	21786	21.0%
3	4412	4.2%
9	4004	3.9%
6	3810	3.7%
4	3692	3.6%
5	3609	3.5%
8	3216	3.1%
7	3195	3.1%

Dash Punctuation

Value	Count	Frequency (%)
-	25994	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	129970	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	32966	25.4%
-	25994	20.0%
1	23286	17.9%
2	21786	16.8%
3	4412	3.4%
9	4004	3.1%
6	3810	2.9%
4	3692	2.8%
5	3609	2.8%
8	3216	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	129970	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	32966	25.4%
-	25994	20.0%
1	23286	17.9%
2	21786	16.8%
3	4412	3.4%
9	4004	3.1%
6	3810	2.9%
4	3692	2.8%
5	3609	2.8%
8	3216	2.5%

1
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	101.7 KiB

Woodlands	3515
Tuas	3497
Changi	3457
Sentosa	2528

Length

Max length	9
Median length	7
Mean length	6.4677233
Min length	4

Characters and Unicode

Total characters	84061
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Changi
2nd row	Woodlands
3rd row	Woodlands
4th row	Changi
5th row	Woodlands

Common Values

Value	Count	Frequency (%)
Woodlands	3515	27.0%
Tuas	3497	26.9%
Changi	3457	26.6%
Sentosa	2528	19.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
woodlands	3515	27.0%
tuas	3497	26.9%
changi	3457	26.6%
sentosa	2528	19.5%

Most occurring characters

Value	Count	Frequency (%)
a	12997	15.5%
o	9558	11.4%
s	9540	11.3%
n	9500	11.3%
d	7030	8.4%
W	3515	4.2%
l	3515	4.2%
T	3497	4.2%
u	3497	4.2%
C	3457	4.1%
Other values (6)	17955	21.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	71064	84.5%
Uppercase Letter	12997	15.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	12997	18.3%
o	9558	13.4%
s	9540	13.4%
n	9500	13.4%
d	7030	9.9%
l	3515	4.9%
u	3497	4.9%
h	3457	4.9%
g	3457	4.9%
i	3457	4.9%
Other values (2)	5056	7.1%

Uppercase Letter

Value	Count	Frequency (%)
W	3515	27.0%
T	3497	26.9%
C	3457	26.6%
S	2528	19.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	84061	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	12997	15.5%
o	9558	11.4%
s	9540	11.3%
n	9500	11.3%
d	7030	8.4%
W	3515	4.2%
l	3515	4.2%
T	3497	4.2%
u	3497	4.2%
C	3457	4.1%
Other values (6)	17955	21.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	84061	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	12997	15.5%
o	9558	11.4%
s	9540	11.3%
n	9500	11.3%
d	7030	8.4%
W	3515	4.2%
l	3515	4.2%
T	3497	4.2%
u	3497	4.2%
C	3457	4.1%
Other values (6)	17955	21.4%

2
Real number (ℝ)

Distinct	334
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.0405324

Minimum	0
Maximum	367.6
Zeros	8640
Zeros (%)	66.5%
Negative	0
Negative (%)	0.0%
Memory size	101.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0.8
95-th percentile	16.8
Maximum	367.6
Range	367.6
Interquartile range (IQR)	0.8

Descriptive statistics

Standard deviation	10.958255
Coefficient of variation (CV)	3.604058
Kurtosis	165.10198
Mean	3.0405324
Median Absolute Deviation (MAD)	0
Skewness	9.5486922
Sum	39517.8
Variance	120.08336
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	8640	66.5%
0.2	553	4.3%
0.4	305	2.3%
0.6	201	1.5%
0.8	140	1.1%
1.2	127	1.0%
1	109	0.8%
1.6	101	0.8%
1.8	94	0.7%
1.4	91	0.7%
Other values (324)	2636	20.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8640	66.5%
0.2	553	4.3%
0.4	305	2.3%
0.6	201	1.5%
0.8	140	1.1%
1	109	0.8%
1.2	127	1.0%
1.4	91	0.7%
1.6	101	0.8%
1.8	94	0.7%

Value	Count	Frequency (%)
367.6	1	< 0.1%
210.6	1	< 0.1%
184.6	1	< 0.1%
182.6	1	< 0.1%
182.2	1	< 0.1%
168.4	1	< 0.1%
162.2	1	< 0.1%
145.6	1	< 0.1%
145.2	1	< 0.1%
145	1	< 0.1%

3
Real number (ℝ)

Distinct	114
Distinct (%)	0.9%
Missing	80
Missing (%)	0.6%
Infinite	0
Infinite (%)	0.0%
Mean	5.5519548

Minimum	0
Maximum	44
Zeros	22
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	101.7 KiB

Quantile statistics

Minimum	0
5-th percentile	1.4
Q1	3.4
median	5.4
Q3	7.4
95-th percentile	10.4
Maximum	44
Range	44
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.8987084
Coefficient of variation (CV)	0.52210591
Kurtosis	2.9201786
Mean	5.5519548
Median Absolute Deviation (MAD)	2
Skewness	0.72963294
Sum	71714.6
Variance	8.4025103
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	502	3.9%
8	462	3.6%
7	355	2.7%
6.4	346	2.7%
5.6	343	2.6%
6.8	330	2.5%
5	318	2.4%
7.6	318	2.4%
7.4	314	2.4%
5.8	314	2.4%
Other values (104)	9315	71.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	22	0.2%
0.2	41	0.3%
0.4	54	0.4%
0.6	84	0.6%
0.7	2	< 0.1%
0.8	111	0.9%
1	141	1.1%
1.2	170	1.3%
1.4	178	1.4%
1.6	236	1.8%

Value	Count	Frequency (%)
44	1	< 0.1%
23.8	1	< 0.1%
22.8	1	< 0.1%
21.6	1	< 0.1%
20.4	1	< 0.1%
20.2	1	< 0.1%
19.8	1	< 0.1%
19.4	1	< 0.1%
19.2	1	< 0.1%
19	1	< 0.1%

4
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	275
Distinct (%)	2.1%
Missing	58
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	6.4962362

Minimum	-13.5
Maximum	13.9
Zeros	383
Zeros (%)	2.9%
Negative	1230
Negative (%)	9.5%
Memory size	101.7 KiB

Quantile statistics

Minimum	-13.5
5-th percentile	-9.2
Q1	3.95
median	8.7
Q3	10.7
95-th percentile	12.6
Maximum	13.9
Range	27.4
Interquartile range (IQR)	6.75

Descriptive statistics

Standard deviation	6.0262358
Coefficient of variation (CV)	0.92765035
Kurtosis	1.8003173
Mean	6.4962362
Median Absolute Deviation (MAD)	2.5
Skewness	-1.5155187
Sum	84054.8
Variance	36.315518
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	383	2.9%
10.8	271	2.1%
11	268	2.1%
11.1	265	2.0%
10.9	252	1.9%
11.2	220	1.7%
10.5	219	1.7%
10.7	208	1.6%
10.6	208	1.6%
10.2	204	1.6%
Other values (265)	10441	80.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-13.5	1	< 0.1%
-13.4	2	< 0.1%
-13.3	5	< 0.1%
-13.2	19	0.1%
-13.1	14	0.1%
-13	21	0.2%
-12.9	7	0.1%
-12.8	7	0.1%
-12.7	5	< 0.1%
-12.6	5	< 0.1%

Value	Count	Frequency (%)
13.9	2	< 0.1%
13.8	3	< 0.1%
13.7	9	0.1%
13.6	4	< 0.1%
13.5	10	0.1%
13.4	24	0.2%
13.3	58	0.4%
13.2	107	0.8%
13.1	108	0.8%
13	83	0.6%

5
Categorical

Distinct	18
Distinct (%)	0.1%
Missing	84
Missing (%)	0.6%
Memory size	101.7 KiB

E	1333
N	1210
SW	1107
ENE	906
ESE	881
Other values (13)	7476

Length

Max length	3
Median length	2
Mean length	2.1470611
Min length	1

Characters and Unicode

Total characters	27725
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	E
2nd row	WNW
3rd row	ESE
4th row	NE
5th row	NNW

Common Values

Value	Count	Frequency (%)
E	1333	10.3%
N	1210	9.3%
SW	1107	8.5%
ENE	906	7.0%
ESE	881	6.8%
NE	841	6.5%
SSW	832	6.4%
W	784	6.0%
WNW	752	5.8%
SE	713	5.5%
Other values (8)	3554	27.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
e	1333	10.3%
n	1210	9.4%
sw	1107	8.6%
ene	906	7.0%
ese	881	6.8%
ne	841	6.5%
ssw	832	6.4%
w	784	6.1%
wnw	752	5.8%
se	713	5.5%
Other values (8)	3554	27.5%

Most occurring characters

Value	Count	Frequency (%)
E	7701	27.8%
S	7007	25.3%
W	6724	24.3%
N	6293	22.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	27725	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	7701	27.8%
S	7007	25.3%
W	6724	24.3%
N	6293	22.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	27725	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	7701	27.8%
S	7007	25.3%
W	6724	24.3%
N	6293	22.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	27725	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	7701	27.8%
S	7007	25.3%
W	6724	24.3%
N	6293	22.7%

6
Real number (ℝ)

Distinct	53
Distinct (%)	0.4%
Missing	80
Missing (%)	0.6%
Infinite	0
Infinite (%)	0.0%
Mean	36.640164

Minimum	9
Maximum	126
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	101.7 KiB

Quantile statistics

Minimum	9
5-th percentile	20
Q1	28
median	35
Q3	43
95-th percentile	59
Maximum	126
Range	117
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	12.628845
Coefficient of variation (CV)	0.34467217
Kurtosis	2.5111468
Mean	36.640164
Median Absolute Deviation (MAD)	7
Skewness	1.1799829
Sum	473281
Variance	159.48773
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
35	988	7.6%
31	968	7.4%
33	929	7.1%
37	864	6.6%
39	831	6.4%
30	808	6.2%
28	749	5.8%
41	683	5.3%
26	612	4.7%
24	590	4.5%
Other values (43)	4895	37.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
9	2	< 0.1%
11	6	< 0.1%
13	40	0.3%
15	111	0.9%
17	168	1.3%
19	290	2.2%
20	407	3.1%
22	420	3.2%
24	590	4.5%
26	612	4.7%

Value	Count	Frequency (%)
126	1	< 0.1%
104	2	< 0.1%
102	4	< 0.1%
100	3	< 0.1%
98	3	< 0.1%
96	9	0.1%
94	5	< 0.1%
93	9	0.1%
91	6	< 0.1%
89	9	0.1%

7
Categorical

Distinct	16
Distinct (%)	0.1%
Missing	300
Missing (%)	2.3%
Memory size	101.7 KiB

N	1212
E	1209
SW	1159
SE	1043
WSW	849
Other values (11)	7225

Length

Max length	3
Median length	2
Mean length	2.1221548
Min length	1

Characters and Unicode

Total characters	26945
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	E
2nd row	NNE
3rd row	SE
4th row	NNW
5th row	N

Common Values

Value	Count	Frequency (%)
N	1212	9.3%
E	1209	9.3%
SW	1159	8.9%
SE	1043	8.0%
WSW	849	6.5%
ENE	843	6.5%
ESE	839	6.5%
NE	827	6.4%
W	796	6.1%
SSE	766	5.9%
Other values (6)	3154	24.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
n	1212	9.5%
e	1209	9.5%
sw	1159	9.1%
se	1043	8.2%
wsw	849	6.7%
ene	843	6.6%
ese	839	6.6%
ne	827	6.5%
w	796	6.3%
sse	766	6.0%
Other values (6)	3154	24.8%

Most occurring characters

Value	Count	Frequency (%)
E	7844	29.1%
S	7551	28.0%
W	5932	22.0%
N	5618	20.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	26945	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	7844	29.1%
S	7551	28.0%
W	5932	22.0%
N	5618	20.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	26945	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	7844	29.1%
S	7551	28.0%
W	5932	22.0%
N	5618	20.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26945	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	7844	29.1%
S	7551	28.0%
W	5932	22.0%
N	5618	20.8%

8
Categorical

Distinct	16
Distinct (%)	0.1%
Missing	52
Missing (%)	0.4%
Memory size	101.7 KiB

SW	997
WNW	983
ENE	968
E	928
N	903
Other values (11)	8166

Length

Max length	3
Median length	2
Mean length	2.2187717
Min length	1

Characters and Unicode

Total characters	28722
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ESE
2nd row	NW
3rd row	E
4th row	NE
5th row	N

Common Values

Value	Count	Frequency (%)
SW	997	7.7%
WNW	983	7.6%
ENE	968	7.4%
E	928	7.1%
N	903	6.9%
W	888	6.8%
NE	864	6.6%
SSW	850	6.5%
NNW	809	6.2%
ESE	755	5.8%
Other values (6)	4000	30.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sw	997	7.7%
wnw	983	7.6%
ene	968	7.5%
e	928	7.2%
n	903	7.0%
w	888	6.9%
ne	864	6.7%
ssw	850	6.6%
nnw	809	6.2%
ese	755	5.8%
Other values (6)	4000	30.9%

Most occurring characters

Value	Count	Frequency (%)
W	7752	27.0%
N	7290	25.4%
E	7022	24.4%
S	6658	23.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	28722	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
W	7752	27.0%
N	7290	25.4%
E	7022	24.4%
S	6658	23.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	28722	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
W	7752	27.0%
N	7290	25.4%
E	7022	24.4%
S	6658	23.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	28722	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
W	7752	27.0%
N	7290	25.4%
E	7022	24.4%
S	6658	23.2%

9
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	36
Distinct (%)	0.3%
Missing	5
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	12.456974

Minimum	0
Maximum	65
Zeros	295
Zeros (%)	2.3%
Negative	0
Negative (%)	0.0%
Memory size	101.7 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	7
median	11
Q3	17
95-th percentile	28
Maximum	65
Range	65
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	8.3418141
Coefficient of variation (CV)	0.66965015
Kurtosis	3.9607512
Mean	12.456974
Median Absolute Deviation (MAD)	4
Skewness	1.5972726
Sum	161841
Variance	69.585863
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
9	1633	12.6%
7	1525	11.7%
6	1359	10.5%
11	1330	10.2%
13	1214	9.3%
15	953	7.3%
4	885	6.8%
17	785	6.0%
19	526	4.0%
20	472	3.6%
Other values (26)	2310	17.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	295	2.3%
2	434	3.3%
4	885	6.8%
6	1359	10.5%
7	1525	11.7%
9	1633	12.6%
11	1330	10.2%
13	1214	9.3%
15	953	7.3%
17	785	6.0%

Value	Count	Frequency (%)
65	1	< 0.1%
63	2	< 0.1%
61	2	< 0.1%
59	1	< 0.1%
57	4	< 0.1%
56	8	0.1%
54	9	0.1%
52	15	0.1%
50	17	0.1%
48	20	0.2%

10
Real number (ℝ)

Distinct	36
Distinct (%)	0.3%
Missing	6
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	16.703102

Minimum	0
Maximum	76
Zeros	46
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	101.7 KiB

Quantile statistics

Minimum	0
5-th percentile	6
Q1	11
median	15
Q3	20
95-th percentile	31
Maximum	76
Range	76
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	7.8825084
Coefficient of variation (CV)	0.47191883
Kurtosis	1.5174679
Mean	16.703102
Median Absolute Deviation (MAD)	5
Skewness	0.85509063
Sum	216990
Variance	62.133939
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
13	1402	10.8%
15	1294	10.0%
11	1283	9.9%
17	1257	9.7%
9	1119	8.6%
19	973	7.5%
20	962	7.4%
24	714	5.5%
22	699	5.4%
7	650	5.0%
Other values (26)	2638	20.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	46	0.4%
2	120	0.9%
4	237	1.8%
6	448	3.4%
7	650	5.0%
9	1119	8.6%
11	1283	9.9%
13	1402	10.8%
15	1294	10.0%
17	1257	9.7%

Value	Count	Frequency (%)
76	1	< 0.1%
65	1	< 0.1%
61	2	< 0.1%
59	1	< 0.1%
57	1	< 0.1%
56	1	< 0.1%
54	1	< 0.1%
52	6	< 0.1%
50	16	0.1%
48	9	0.1%

11
Real number (ℝ)

Distinct	89
Distinct (%)	0.7%
Missing	14
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	65.476623

Minimum	11
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	101.7 KiB

Quantile statistics

Minimum	11
5-th percentile	39
Q1	56
median	66
Q3	76
95-th percentile	91
Maximum	100
Range	89
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	15.460822
Coefficient of variation (CV)	0.23612736
Kurtosis	0.021124412
Mean	65.476623
Median Absolute Deviation (MAD)	10
Skewness	-0.29493617
Sum	850083
Variance	239.03702
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
68	357	2.7%
64	356	2.7%
69	351	2.7%
65	340	2.6%
58	339	2.6%
66	333	2.6%
72	333	2.6%
62	332	2.6%
70	329	2.5%
67	325	2.5%
Other values (79)	9588	73.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
11	1	< 0.1%
13	6	< 0.1%
14	5	< 0.1%
15	6	< 0.1%
16	6	< 0.1%
17	10	0.1%
18	11	0.1%
19	6	< 0.1%
20	8	0.1%
21	11	0.1%

Value	Count	Frequency (%)
100	11	0.1%
99	32	0.2%
98	51	0.4%
97	44	0.3%
96	85	0.7%
95	68	0.5%
94	86	0.7%
93	109	0.8%
92	85	0.7%
91	96	0.7%

12
Real number (ℝ)

Distinct	96
Distinct (%)	0.7%
Missing	27
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	50.818813

Minimum	5
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	101.7 KiB

Quantile statistics

Minimum	5
5-th percentile	22
Q1	40
median	51
Q3	61
95-th percentile	81
Maximum	100
Range	95
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	16.865362
Coefficient of variation (CV)	0.33187242
Kurtosis	0.042570941
Mean	50.818813
Median Absolute Deviation (MAD)	10
Skewness	0.11666665
Sum	659120
Variance	284.44045
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
53	381	2.9%
57	375	2.9%
52	358	2.8%
49	349	2.7%
51	346	2.7%
50	345	2.7%
54	337	2.6%
45	335	2.6%
56	329	2.5%
48	327	2.5%
Other values (86)	9488	73.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1	< 0.1%
6	4	< 0.1%
7	4	< 0.1%
8	11	0.1%
9	11	0.1%
10	17	0.1%
11	25	0.2%
12	32	0.2%
13	30	0.2%
14	30	0.2%

Value	Count	Frequency (%)
100	1	< 0.1%
99	2	< 0.1%
98	10	0.1%
97	11	0.1%
96	27	0.2%
95	23	0.2%
94	27	0.2%
93	31	0.2%
92	28	0.2%
91	46	0.4%

13
Categorical

Distinct	32
Distinct (%)	0.2%
Missing	2
Missing (%)	< 0.1%
Memory size	101.7 KiB

meD	1030
Med	1000
mEd	983
MEd	979
MeD	978
Other values (27)	8025

Length

Max length	4
Median length	3
Mean length	3.2066179
Min length	3

Characters and Unicode

Total characters	41670
Distinct characters	18
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	MED
2nd row	MeD
3rd row	Med
4th row	hIgh
5th row	meD

Common Values

Value	Count	Frequency (%)
meD	1030	7.9%
Med	1000	7.7%
mEd	983	7.6%
MEd	979	7.5%
MeD	978	7.5%
med	960	7.4%
mED	947	7.3%
MED	918	7.1%
lOw	353	2.7%
lOW	326	2.5%
Other values (22)	4521	34.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
med	7795	60.0%
high	2685	20.7%
low	2515	19.4%

Most occurring characters

Value	Count	Frequency (%)
e	3968	9.5%
d	3922	9.4%
m	3920	9.4%
M	3875	9.3%
D	3873	9.3%
E	3827	9.2%
h	2705	6.5%
H	2665	6.4%
g	1369	3.3%
i	1346	3.2%
Other values (8)	10200	24.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	21029	50.5%
Uppercase Letter	20641	49.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	3968	18.9%
d	3922	18.7%
m	3920	18.6%
h	2705	12.9%
g	1369	6.5%
i	1346	6.4%
w	1287	6.1%
l	1283	6.1%
o	1229	5.8%

Uppercase Letter

Value	Count	Frequency (%)
M	3875	18.8%
D	3873	18.8%
E	3827	18.5%
H	2665	12.9%
I	1339	6.5%
G	1316	6.4%
O	1286	6.2%
L	1232	6.0%
W	1228	5.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	41670	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	3968	9.5%
d	3922	9.4%
m	3920	9.4%
M	3875	9.3%
D	3873	9.3%
E	3827	9.2%
h	2705	6.5%
H	2665	6.4%
g	1369	3.3%
i	1346	3.2%
Other values (8)	10200	24.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	41670	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	3968	9.5%
d	3922	9.4%
m	3920	9.4%
M	3875	9.3%
D	3873	9.3%
E	3827	9.2%
h	2705	6.5%
H	2665	6.4%
g	1369	3.3%
i	1346	3.2%
Other values (8)	10200	24.5%

14
Categorical

Distinct	32
Distinct (%)	0.2%
Missing	8
Missing (%)	0.1%
Memory size	101.7 KiB

mEd	988
meD	984
mED	969
med	964
MEd	958
Other values (27)	8126

Length

Max length	4
Median length	3
Mean length	3.208946
Min length	3

Characters and Unicode

Total characters	41681
Distinct characters	18
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Med
2nd row	LOw
3rd row	MEd
4th row	med
5th row	MeD

Common Values

Value	Count	Frequency (%)
mEd	988	7.6%
meD	984	7.6%
mED	969	7.5%
med	964	7.4%
MEd	958	7.4%
MeD	953	7.3%
Med	930	7.2%
MED	902	6.9%
Low	352	2.7%
LoW	346	2.7%
Other values (22)	4643	35.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
med	7648	58.9%
high	2714	20.9%
low	2627	20.2%

Most occurring characters

Value	Count	Frequency (%)
m	3905	9.4%
d	3840	9.2%
e	3831	9.2%
E	3817	9.2%
D	3808	9.1%
M	3743	9.0%
h	2775	6.7%
H	2653	6.4%
i	1401	3.4%
g	1374	3.3%
Other values (8)	10534	25.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	21081	50.6%
Uppercase Letter	20600	49.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	3905	18.5%
d	3840	18.2%
e	3831	18.2%
h	2775	13.2%
i	1401	6.6%
g	1374	6.5%
o	1340	6.4%
w	1327	6.3%
l	1288	6.1%

Uppercase Letter

Value	Count	Frequency (%)
E	3817	18.5%
D	3808	18.5%
M	3743	18.2%
H	2653	12.9%
G	1340	6.5%
L	1339	6.5%
I	1313	6.4%
W	1300	6.3%
O	1287	6.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	41681	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	3905	9.4%
d	3840	9.2%
e	3831	9.2%
E	3817	9.2%
D	3808	9.1%
M	3743	9.0%
h	2775	6.7%
H	2653	6.4%
i	1401	3.4%
g	1374	3.3%
Other values (8)	10534	25.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	41681	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
m	3905	9.4%
d	3840	9.2%
e	3831	9.2%
E	3817	9.2%
D	3808	9.1%
M	3743	9.0%
h	2775	6.7%
H	2653	6.4%
i	1401	3.4%
g	1374	3.3%
Other values (8)	10534	25.3%

15
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	9
Distinct (%)	0.1%
Missing	304
Missing (%)	2.3%
Infinite	0
Infinite (%)	0.0%
Mean	4.1088789

Minimum	0
Maximum	8
Zeros	1123
Zeros (%)	8.6%
Negative	0
Negative (%)	0.0%
Memory size	101.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	4
Q3	7
95-th percentile	8
Maximum	8
Range	8
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	2.7278248
Coefficient of variation (CV)	0.66388542
Kurtosis	-1.5609581
Mean	4.1088789
Median Absolute Deviation (MAD)	3
Skewness	-0.11273596
Sum	52154
Variance	7.4410282
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
7	3301	25.4%
1	2548	19.6%
6	1288	9.9%
0	1123	8.6%
3	1036	8.0%
2	1016	7.8%
5	899	6.9%
8	802	6.2%
4	680	5.2%
(Missing)	304	2.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1123	8.6%
1	2548	19.6%
2	1016	7.8%
3	1036	8.0%
4	680	5.2%
5	899	6.9%
6	1288	9.9%
7	3301	25.4%
8	802	6.2%

Value	Count	Frequency (%)
8	802	6.2%
7	3301	25.4%
6	1288	9.9%
5	899	6.9%
4	680	5.2%
3	1036	8.0%
2	1016	7.8%
1	2548	19.6%
0	1123	8.6%

16
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	9
Distinct (%)	0.1%
Missing	382
Missing (%)	2.9%
Infinite	0
Infinite (%)	0.0%
Mean	4.1241379

Minimum	0
Maximum	8
Zeros	857
Zeros (%)	6.6%
Negative	0
Negative (%)	0.0%
Memory size	101.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	4
Q3	7
95-th percentile	8
Maximum	8
Range	8
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	2.6461947
Coefficient of variation (CV)	0.64163585
Kurtosis	-1.5243568
Mean	4.1241379
Median Absolute Deviation (MAD)	3
Skewness	-0.087150137
Sum	52026
Variance	7.0023466
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
7	3148	24.2%
1	2457	18.9%
6	1263	9.7%
2	1246	9.6%
3	1149	8.8%
5	988	7.6%
0	857	6.6%
8	762	5.9%
4	745	5.7%
(Missing)	382	2.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	857	6.6%
1	2457	18.9%
2	1246	9.6%
3	1149	8.8%
4	745	5.7%
5	988	7.6%
6	1263	9.7%
7	3148	24.2%
8	762	5.9%

Value	Count	Frequency (%)
8	762	5.9%
7	3148	24.2%
6	1263	9.7%
5	988	7.6%
4	745	5.7%
3	1149	8.8%
2	1246	9.6%
1	2457	18.9%
0	857	6.6%

17
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	3198
Missing (%)	24.6%
Memory size	25.5 KiB

False	7488
True	2311
(Missing)	3198

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	7488	57.6%
True	2311	17.8%
(Missing)	3198	24.6%

18
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.8 KiB

False	9998
True	2999

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	9998	76.9%
True	2999	23.1%

19
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	101.7 KiB

blue	3333
white	3300
red	3240
grey	3124

Length

Max length	5
Median length	4
Mean length	4.0046164
Min length	3

Characters and Unicode

Total characters	52048
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	blue
2nd row	blue
3rd row	blue
4th row	red
5th row	grey

Common Values

Value	Count	Frequency (%)
blue	3333	25.6%
white	3300	25.4%
red	3240	24.9%
grey	3124	24.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
blue	3333	25.6%
white	3300	25.4%
red	3240	24.9%
grey	3124	24.0%

Most occurring characters

Value	Count	Frequency (%)
e	12997	25.0%
r	6364	12.2%
b	3333	6.4%
l	3333	6.4%
u	3333	6.4%
w	3300	6.3%
h	3300	6.3%
i	3300	6.3%
t	3300	6.3%
d	3240	6.2%
Other values (2)	6248	12.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	52048	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	12997	25.0%
r	6364	12.2%
b	3333	6.4%
l	3333	6.4%
u	3333	6.4%
w	3300	6.3%
h	3300	6.3%
i	3300	6.3%
t	3300	6.3%
d	3240	6.2%
Other values (2)	6248	12.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	52048	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	12997	25.0%
r	6364	12.2%
b	3333	6.4%
l	3333	6.4%
u	3333	6.4%
w	3300	6.3%
h	3300	6.3%
i	3300	6.3%
t	3300	6.3%
d	3240	6.2%
Other values (2)	6248	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	52048	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	12997	25.0%
r	6364	12.2%
b	3333	6.4%
l	3333	6.4%
u	3333	6.4%
w	3300	6.3%
h	3300	6.3%
i	3300	6.3%
t	3300	6.3%
d	3240	6.2%
Other values (2)	6248	12.0%

20
Real number (ℝ)

Distinct	137
Distinct (%)	1.1%
Missing	9
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	31.522144

Minimum	24.3
Maximum	38.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	101.7 KiB

Quantile statistics

Minimum	24.3
5-th percentile	26.6
Q1	29.1
median	31.7
Q3	34.2
95-th percentile	35.7
Maximum	38.5
Range	14.2
Interquartile range (IQR)	5.1

Descriptive statistics

Standard deviation	2.9605914
Coefficient of variation (CV)	0.093921005
Kurtosis	-1.086417
Mean	31.522144
Median Absolute Deviation (MAD)	2.5
Skewness	-0.20895987
Sum	409409.6
Variance	8.7651014
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
35.1	226	1.7%
34.9	196	1.5%
35.4	195	1.5%
35.2	194	1.5%
35	182	1.4%
35.3	179	1.4%
34.8	178	1.4%
35.5	171	1.3%
33.5	164	1.3%
35.6	163	1.3%
Other values (127)	11140	85.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
24.3	2	< 0.1%
24.5	1	< 0.1%
24.6	3	< 0.1%
24.7	4	< 0.1%
24.8	6	< 0.1%
24.9	13	0.1%
25	3	< 0.1%
25.1	12	0.1%
25.2	21	0.2%
25.3	18	0.1%

Value	Count	Frequency (%)
38.5	4	< 0.1%
38.4	2	< 0.1%
38.3	2	< 0.1%
38	2	< 0.1%
37.9	1	< 0.1%
37.7	2	< 0.1%
37.6	1	< 0.1%
37.4	1	< 0.1%
37.2	2	< 0.1%
37.1	1	< 0.1%

Auto

Heatmap
Table

	2	3	4	6	9	10	11	12	15	16	20	1	5	7	8	13	14	17	18	19
2	1.000	-0.277	-0.328	0.109	0.003	0.015	0.468	0.451	0.399	0.372	-0.059	0.055	0.024	0.036	0.019	0.073	0.056	0.220	0.145	0.013
3	-0.277	1.000	0.368	0.249	0.200	0.239	-0.502	-0.281	-0.167	-0.227	0.582	0.234	0.104	0.119	0.097	0.147	0.149	0.216	0.130	0.008
4	-0.328	0.368	1.000	0.010	0.030	0.105	-0.446	-0.475	-0.545	-0.580	0.214	0.184	0.091	0.097	0.086	0.084	0.075	0.378	0.475	0.011
6	0.109	0.249	0.010	1.000	0.672	0.717	-0.143	-0.079	0.112	0.121	0.172	0.334	0.128	0.175	0.127	0.136	0.117	0.152	0.231	0.017
9	0.003	0.200	0.030	0.672	1.000	0.574	-0.227	-0.200	0.057	0.076	0.119	0.369	0.136	0.175	0.128	0.073	0.060	0.045	0.034	0.026
10	0.015	0.239	0.105	0.717	0.574	1.000	-0.090	-0.065	0.053	0.019	0.260	0.381	0.141	0.147	0.163	0.101	0.091	0.015	0.068	0.026
11	0.468	-0.502	-0.446	-0.143	-0.227	-0.090	1.000	0.633	0.455	0.403	-0.076	0.172	0.083	0.104	0.090	0.082	0.085	0.462	0.345	0.000
12	0.451	-0.281	-0.475	-0.079	-0.200	-0.065	0.633	1.000	0.532	0.567	0.015	0.129	0.096	0.118	0.091	0.115	0.101	0.419	0.569	0.015
15	0.399	-0.167	-0.545	0.112	0.057	0.053	0.455	0.532	1.000	0.681	0.012	0.168	0.079	0.083	0.073	0.099	0.082	0.365	0.383	0.000
16	0.372	-0.227	-0.580	0.121	0.076	0.019	0.403	0.567	0.681	1.000	-0.026	0.169	0.084	0.093	0.084	0.107	0.091	0.334	0.467	0.017
20	-0.059	0.582	0.214	0.172	0.119	0.260	-0.076	0.015	0.012	-0.026	1.000	0.493	0.171	0.154	0.180	0.194	0.218	0.182	0.126	0.011
1	0.055	0.234	0.184	0.334	0.369	0.381	0.172	0.129	0.168	0.169	0.493	1.000	0.444	0.375	0.472	0.213	0.252	0.061	0.058	0.010
5	0.024	0.104	0.091	0.128	0.136	0.141	0.083	0.096	0.079	0.084	0.171	0.444	1.000	0.219	0.351	0.075	0.078	0.172	0.171	0.000
7	0.036	0.119	0.097	0.175	0.175	0.147	0.104	0.118	0.083	0.093	0.154	0.375	0.219	1.000	0.186	0.083	0.073	0.188	0.202	0.025
8	0.019	0.097	0.086	0.127	0.128	0.163	0.090	0.091	0.073	0.084	0.180	0.472	0.351	0.186	1.000	0.094	0.105	0.159	0.195	0.018
13	0.073	0.147	0.084	0.136	0.073	0.101	0.082	0.115	0.099	0.107	0.194	0.213	0.075	0.083	0.094	1.000	0.212	0.270	0.320	0.018
14	0.056	0.149	0.075	0.117	0.060	0.091	0.085	0.101	0.082	0.091	0.218	0.252	0.078	0.073	0.105	0.212	1.000	0.223	0.286	0.011
17	0.220	0.216	0.378	0.152	0.045	0.015	0.462	0.419	0.365	0.334	0.182	0.061	0.172	0.188	0.159	0.270	0.223	1.000	0.345	0.000
18	0.145	0.130	0.475	0.231	0.034	0.068	0.345	0.569	0.383	0.467	0.126	0.058	0.171	0.202	0.195	0.320	0.286	0.345	1.000	0.013
19	0.013	0.008	0.011	0.017	0.026	0.026	0.000	0.015	0.000	0.017	0.011	0.010	0.000	0.025	0.018	0.018	0.011	0.000	0.013	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	0	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20
0	2009-03-08	Changi	0.0	7.0	11.2	E	35.0	E	ESE	15.0	19.0	60.0	54.0	MED	Med	4.0	5.0	No	No	blue	33.4
1	2014-11-12	Woodlands	0.0	8.4	9.6	WNW	37.0	NNE	NW	13.0	28.0	60.0	56.0	MeD	LOw	1.0	2.0	None	Yes	blue	35.4
2	2008-08-08	Woodlands	0.0	7.6	11.1	ESE	52.0	SE	E	19.0	19.0	NaN	13.0	Med	MEd	0.0	0.0	None	No	blue	32.8
3	2015-10-12	Changi	0.0	7.2	11.4	NE	31.0	NNW	NE	9.0	13.0	51.0	53.0	hIgh	med	1.0	1.0	No	No	red	31.4
4	2013-10-27	Woodlands	5.6	7.0	8.5	NNW	33.0	N	N	13.0	19.0	68.0	64.0	meD	MeD	6.0	5.0	None	No	grey	35.4
5	2014-02-08	Tuas	0.0	10.6	12.8	S	43.0	SSE	SSW	15.0	22.0	54.0	45.0	MEd	MED	1.0	0.0	No	No	grey	31.9
6	2009-01-23	Woodlands	81.0	7.8	4.7	SSW	28.0	S	N	13.0	15.0	89.0	58.0	LOW	lOW	8.0	7.0	Yes	No	red	34.4
7	2016-02-02	Tuas	0.0	7.2	12.7	SSW	41.0	SSE	SSW	13.0	17.0	49.0	45.0	meD	meD	0.0	0.0	No	No	white	29.9
8	2016-05-07	Sentosa	0.0	5.2	5.8	N	43.0	N	N	17.0	15.0	54.0	39.0	MED	mEd	2.0	7.0	No	Yes	blue	30.0
9	2013-06-28	Changi	1.8	0.8	2.1	ESE	22.0	WSW	ESE	7.0	9.0	84.0	68.0	mED	mEd	7.0	6.0	Yes	Yes	blue	30.0

	0	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20
12987	2012-07-30	Changi	0.0	4.2	9.9	WSW	17.0	SW	W	6.0	6.0	66.0	32.0	mEd	med	1.0	1.0	No	No	white	28.1
12988	2009-01-03	Changi	4.4	5.4	0.0	SSE	41.0	SE	SSE	15.0	15.0	85.0	86.0	Med	meD	8.0	8.0	Yes	Yes	blue	32.7
12989	2010-02-21	Sentosa	0.0	14.8	10.4	N	57.0	SSW	SSE	13.0	20.0	67.0	46.0	MeD	med	6.0	4.0	None	No	blue	33.3
12990	2014-09-26	Tuas	0.0	4.0	10.9	NNW	39.0	NNE	WNW	13.0	17.0	65.0	47.0	MeD	med	3.0	2.0	None	Yes	blue	29.4
12991	2011-08-21	Changi	3.0	4.4	1.9	SE	37.0	SSW	SE	6.0	17.0	89.0	51.0	HIgh	HigH	8.0	7.0	Yes	Yes	red	29.2
12992	2015-06-12	Tuas	0.4	1.6	5.6	SW	28.0	None	SW	0.0	13.0	92.0	66.0	MEd	mED	4.0	3.0	No	No	red	29.3
12993	2016-09-29	Changi	0.0	7.4	0.6	NNW	35.0	N	NNW	4.0	9.0	57.0	48.0	LOw	LoW	7.0	8.0	No	Yes	white	31.3
12994	2011-05-14	Sentosa	8.0	0.8	5.4	S	52.0	WSW	S	24.0	28.0	87.0	64.0	HiGH	HIgH	NaN	NaN	Yes	Yes	grey	26.4
12995	2011-02-14	Sentosa	4.4	4.4	12.0	S	31.0	SSE	SSE	13.0	9.0	68.0	52.0	hiGH	hIgh	5.0	1.0	Yes	No	blue	30.5
12996	2016-03-04	Changi	0.4	8.4	11.1	E	33.0	ESE	E	4.0	11.0	66.0	44.0	mED	MeD	4.0	2.0	No	No	blue	33.4

Most frequently occurring

	0	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	# duplicates
904	2015-08-22	Woodlands	0.0	6.0	9.9	N	33.0	E	NNW	15.0	24.0	77.0	54.0	MeD	meD	3.0	1.0	No	No	blue	33.5	4
28	2008-09-15	Changi	1.0	6.2	9.7	NE	28.0	S	NNE	2.0	15.0	72.0	61.0	meD	med	1.0	1.0	No	No	blue	30.9	3
37	2008-10-06	Tuas	0.0	5.2	11.1	SE	30.0	ENE	SE	13.0	13.0	57.0	34.0	higH	hiGh	2.0	5.0	No	No	red	27.7	3
46	2008-11-01	Changi	0.0	8.2	-9.8	ESE	41.0	SSW	ESE	7.0	20.0	48.0	50.0	mEd	med	3.0	5.0	No	No	blue	33.1	3
75	2009-01-16	Changi	0.0	9.0	12.4	NE	31.0	WNW	NE	7.0	15.0	54.0	52.0	mED	Med	1.0	6.0	NaN	No	red	33.9	3
76	2009-01-19	Sentosa	0.0	7.8	13.4	N	54.0	N	WNW	28.0	22.0	52.0	20.0	mED	MEd	1.0	1.0	No	No	grey	33.1	3
95	2009-03-18	Tuas	0.8	4.0	9.8	SSW	33.0	S	WSW	7.0	15.0	84.0	39.0	mED	MEd	6.0	1.0	No	No	blue	30.7	3
98	2009-03-25	Sentosa	2.4	2.2	3.2	SSE	31.0	N	S	6.0	19.0	95.0	56.0	med	MED	7.0	7.0	Yes	No	white	30.7	3
99	2009-03-27	Tuas	0.0	6.8	10.7	SW	31.0	NaN	WSW	0.0	17.0	69.0	25.0	MeD	MED	0.0	0.0	No	No	blue	33.5	3
107	2009-04-13	Tuas	0.0	12.2	0.1	NE	41.0	E	SSE	15.0	6.0	51.0	74.0	meD	meD	7.0	8.0	NaN	Yes	grey	32.2	3

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length